- Publisher:
- Cambridge University Press
- Online publication date:
- April 2019
- Print publication year:
- 2019
- Online ISBN:
- 9781108277389
- Subjects:
- Engineering, Wireless Communications, Energy Technology
Understand the fundamental theory and practical design aspects of green and soft wireless communications networks with this expert text. It provides comprehensive and unified coverage of 5G physical layer design, as well as design of the higher and radio access layers and the core network, drawing on viewpoints from both academia and industry. Get to grips with the theory through authoritative discussion of information-theoretical results, and learn about fundamental green design trade-offs, software-defined network architectures, and energy efficient radio resource management strategies. Applications of wireless big data and artificial intelligence to wireless network design are included, providing an excellent design reference, and real-world examples of employment in software-defined 5G networks and energy saving solutions from wireless communications companies and cellular operators help to connect theory with practice. This is an essential text for graduate students, professionals and researchers.
'This volume provides the reader with an exquisite amalgam of classical and radically new wireless solutions, striking a compelling balance between the underlying theory and the associated practical issues.'
Lajos Hanzo - University of Southampton
'This book provides a comprehensive introduction to green and software-defined wireless networks. The authors are recognized experts in these areas, and provide theoretical foundations as well as examples of real-world applications. By connecting theory with practice, this book will be very useful for academic researchers and practicing engineers.'
Leonard Cimini - University of Delaware
'This book provides a comprehensive yet focused description of green and software-defined wireless networks with rich real-world examples of employment.'
Zhisheng Niu - Tsinghua University, Beijing
* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.
Usage data cannot currently be displayed.